OpenAI
Physical Design Engineer, Forward Deployed Engineering
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 2 weeks ago · Added 5 days ago
Been open since 2 weeks ago, still being checked, but it has been live a while.
Salary
$260,000 to $302,000
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About the Team
OpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially improve engineering workflows and accelerate innovation.
Our work turns early, high-touch deployments into repeatable solution patterns, reference architectures, and evaluation practices that scale across the semiconductor ecosystem.
About the Role
We are seeking a highly skilled Physical Design Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is a senior IC role that will begin with a strong emphasis on physical design expertise, technical judgment, advisory leverage, and customer credibility, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time.
In the near term, you will serve as the team’s physical design SME across semiconductor deployments: helping FDEs, Product, and Research understand backend implementation workflows, pressure-test AI-assisted solution ideas against real physical design constraints, and raise the quality of our customer-facing technical work. You will help the broader team build fluency in implementation flows, EDA tooling, signoff methodology, and the trade-offs that shape physical design decisions in practice.
Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions.
This is a strong fit for someone who brings deep physical design expertise today and is excited to grow into a customer-facing, systems-building, delivery-oriented FDE role.
In this role, you will:
Serve as the physical design SME for semiconductor customer engagements, helping FDE teams understand backend implementation workflows, constraints, and opportunities
Partner with FDEs during customer discovery and scoping to translate ambiguous pain points into clear solution hypotheses, success criteria, and technical plans
Support customer-facing technical conversations as a trusted advisor, engaging credibly with technical leaders
Help shape AI-assisted solutions across physical design workflows, including floorplanning, place and route, clocking, timing closure, congestion, power, physical verification, and signoff
Guide feasibility and integration decisions across the entire chip design lifecycle: design, verification, and physical design
Partner with FDEs and customer SMEs to curate evaluation datasets, golden tasks, rubrics, and acceptance criteria for physical design use cases, ensuring evals reflect real workflows and meaningful success metrics
Build or guide lightweight prototypes, benchmarks, methodology experiments, and internal tools that validate opportunities and accelerate solution development
Educate and mentor the broader FDE team on physical design concepts, implementation flows, EDA tooling, and key trade-offs so the org can engage customers with greater depth and confidence
Surface repeated customer signal to Product and Research to help shape roadmap, model behavior, and platform capabilities for semiconductor use cases
Progressively take on broader FDE responsibilities, including customer discovery, solution architecture, prototype development, production deployment, and ownership of technical workstreams
Minimum Qualifications
BS with 7+ years, MS with 5+ years, or equivalent industry experience in physical design, physical implementation, or backend signoff for complex ASIC or SoC programs
Demonstrated success bringing complex designs through tapeout, with hands-on experience in floorplanning, place and route, CTS, timing closure, power analysis, physical verification, and signoff
Deep familiarity with industry-standard EDA tools and flows for synthesis, PNR, STA, physical verification, equivalence checking, and power analysis
Strong understanding of how physical design intersects with microarchitecture, RTL, verification, design methodology, libraries/PDKs, and system-level PPA trade-offs
Requirements
- ·BS with 7+ years, MS with 5+ years, or equivalent industry experience in physical design, physical implementation, or backend signoff for complex ASIC or SoC programs
- ·Demonstrated success bringing complex designs through tapeout, with hands-on experience in floorplanning, place and route, CTS, timing closure, power analysis, physical verification, and signoff
- ·Deep familiarity with industry-standard EDA tools and flows for synthesis, PNR, STA, physical verification, equivalence checking, and power analysis
- ·Strong understanding of how physical design intersects with microarchitecture, RTL, verification, design methodology, libraries/PDKs, and system-level PPA trade-offs
- ·Strong communication and collaboration skills, with the ability to translate deep technical trade-offs clearly in customer-facing and cross-functional settings
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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